A character-based convolutional neural network for language-agnostic Twitter sentiment analysis J Wehrmann, W Becker, HEL Cagnini, RC Barros 2017 International Joint Conference on Neural Networks (IJCNN), 2384-2391, 2017 | 148 | 2017 |
An efficient deep neural architecture for multilingual sentiment analysis in twitter W Becker, J Wehrmann, HEL Cagnini, RC Barros Proceedings of the 30th FLAIRS, 2017, Brasil., 2017 | 33 | 2017 |
Estimation of Distribution Algorithms for Decision-Tree Induction MB Henry Cagnini, Rodrigo Barros 2017 IEEE Congress on Evolutionary Computation, 2017 | 10* | 2017 |
A survey of evolutionary algorithms for supervised ensemble learning HEL Cagnini, SCND Dôres, AA Freitas, RC Barros The Knowledge Engineering Review 38, e1, 2023 | 8 | 2023 |
PASCAL: An EDA for Parameterless Shape-Independent Clustering HEL Cagnini, RC Barros IEEE Congress on Evolutionary Computation, 2016 | 7 | 2016 |
Mundo virtual Minecraft: uma Experiência no Ensino de Circuitos Digitais HEL Cagnini, AS Charao, PA Patrıcia, BR de Azevedo 23º Workshop sobre Educação em Computação (WEI 2015), 2015 | 7 | 2015 |
Medoid-based Data Clustering with Estimation of Distribution Algorithms H CAGNINI, RC BARROS, CV QUEVEDO, MP BASGALUPP ACM Symposium on Applied Computing (ACM SAC 2016), 2016 | 6 | 2016 |
Increasing Boosting Effectiveness with Estimation of Distribution Algorithms H Cagnini, M Basgalupp, R Barros IEEE Congress on Evolutionary Computation, 2018 | 4 | 2018 |
An evolutionary algorithm for learning interpretable ensembles of classifiers HEL Cagnini, AA Freitas, RC Barros Brazilian Conference on Intelligent Systems, 18-33, 2020 | 3 | 2020 |
A Portable OpenCL-based Approach for SVMs in GPU HEL Cagnini, AT Winck, RC Barros 4th Brazilian Conference on Intelligent Systems (BRACIS 2015), 2015 | 3 | 2015 |
Estimation of distribution algorithms for clustering and classification HEL Cagnini Pontifícia Universidade Católica do Rio Grande do Sul, 2017 | 1 | 2017 |
git Essentials HEL Cagnini, TC Naidon 1 1, 49, 2022 | | 2022 |
Code Rush: Desenvolvimento de um jogo de cartas físico para aprendizado de lógica de programação TS Ceolin Universidade Federal de Santa Maria, 2022 | | 2022 |
Evolutionary algorithms for learning ensembles of interpretable classifiers HEL Cagnini Pontifícia Universidade Católica do Rio Grande do Sul, 2022 | | 2022 |
Aumento do Desempenho da Support Vector Machine através de técnicas de paralelização de código fonte em GPU HEL Cagnini Universidade Federal de Santa Maria, 2014 | | 2014 |
Paralelização da SVM em GPU HEL Cagnini, AT Winck, RC Barros Symposium on Knowledge Discovery, Mining and Learning (KDMILE 2014), 2014 | | 2014 |